import os
from PyQt5.QtCore import QObject, pyqtSignal
from .mockdata import MOCK_DETECTION_DATA, DB_MOCK_DATA
from .db_utils import DBUtils

class ImageProcessor(QObject):
    # 定义信号
    image_processed = pyqtSignal(dict)  # 发送处理后的结果
    processing_finished = pyqtSignal()   # 处理完成信号
    error_occurred = pyqtSignal(str)
    
    def __init__(self):
        super().__init__()
        self.current_index = 0
        self.mock_data = MOCK_DETECTION_DATA
        self.db_utils = DBUtils()
        
    def process_next_image(self):
        """处理下一张图片"""
        try:
            if self.current_index >= len(self.mock_data):
                self.processing_finished.emit()
                return False
                
            # 获取当前图片的模拟数据
            current_data = self.mock_data[self.current_index]
            
            # 保存到数据库
            for det in DB_MOCK_DATA[self.current_index * 4:(self.current_index + 1) * 4]:
                self.db_utils.insert_detection(det)
            
            self.current_index += 1
            self.image_processed.emit(current_data)
            return True
            
        except Exception as e:
            self.error_occurred.emit(str(e))
            return False
        
    def reset(self):
        """重置处理器"""
        self.current_index = 0
        
    def preprocess_image(self, image_path):
        """图像预处理"""
        # 根据你的模型需求实现图像预处理
        pass
        
    def postprocess_predictions(self, predictions, original_image):
        """预测结果后处理"""
        # 根据你的模型输出格式实现后处理
        pass
        
    def draw_predictions(self, image_path, results, output_path):
        """在图像上绘制检测结果"""
        # 实现检测结果的可视化
        pass
        
    def __del__(self):
        """析构函数"""
        self.db_utils.close() 